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Intelligent Medical Objects and AWS Collaborate to Enhance Data Led Cloud Migrations in Healthcare

Collaboration will migrate clinical data and unlock data value using leading terminology technology

Intelligent Medical Objects (IMO) announced a strategic collaboration with Amazon Web Services (AWS) to streamline health data migrations to the cloud for AWS customers. The collaboration will support the secure migration of clinical data using IMO’s industry leading medical terminology technology, regulatory code mapping, and semantic normalization capabilities. IMO’s technology allows AWS customers to migrate their health data to a cloud native environment quickly and seamlessly.

“This is an exciting opportunity for IMO to use our technology and expertise to ensure critical data quality standards are met in AWS cloud migrations at a large scale”

“This is an exciting opportunity for IMO to use our technology and expertise to ensure critical data quality standards are met in AWS cloud migrations at a large scale,” said Ivana Naeymi-Rad, Chief Operating Officer at IMO.

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This collaboration benefits healthcare and life sciences customers looking to migrate clinical data sets to AWS and need support to unlock the value of that data currently held within the proprietary schemas of electronic health records (EHRs) and other systems. Currently, this process can be slow and time consuming. The data being securely migrated includes clinical data for diagnosis, conditions, and treatments from surgeries, medications, labs, imaging, and radiology.

For example, a large health system on the East Coast needed to move uncoded data from multiple EHRs into its cloud environment. This was an effort to decrease uncoded problems and help clinical staff gain better insights into patients across its healthcare ecosystem and make sure the data was clean when transitioned. IMO helped find, code, and recommend good data to transition to the EHR, enabling the staff to better understand patients and decrease patient safety issues arising from miss or non-coded datasets. During this migration project, IMO’s tools and services accelerated the customers’ ability to make use of this data, compared to manual efforts.

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Data quality is a critical component of managing population health and supporting Artificial Intelligence and Machine Learning workloads. Moving to the cloud helps to maintain data retention compliance requirements which helps to maximize an organization’s operational and cost efficiencies. Combining the precision of IMO’s data interoperability capabilities and the security and agility of AWS could help rationalize complex clinical data at a global scale.

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